BACKGROUND: Acute coronary syndrome (ACS) is a cardiovascular disease causing a high number of patient mortality in the world as well as Indonesia. Systolic blood pressure (SBP) and blood glucose (BG) are suspected to be important indicators for determining the risk stratification and prognostic information of ACS.
AIM: This study aims to evaluate blood pressure and BG alongside the mortality of patients with ACS.
METHODS: This was a quantitative study conducted using a retrospective survey method and the secondary data used were obtained from the medical records in Dr. Iskak Hospital between January and December 2020. The study sample consists of 110 respondents selected with a proportionate stratified random sampling. Meanwhile, the independent variables were SBP (X1) and BG (X2) while the dependent variable was mortality in ACS patients (Y).
RESULTS: The multivariate analyses results with logistic regression show that SBP is associated with mortality with p = 0.008 and an odds ratio of 0.673. Furthermore, the BG was slightly higher in the multivariate model which has an odds ratio of 3.052 and was associated with mortality having p = 0.000.
CONCLUSION: Based on the result, a low SBP and high BG lead to ACS patient mortality, consequently, serious attention is needed on the SBP and blood sugar.
According to WHO, coronary heart disease (CHD) is the leading cause of death. Blood glucose and systolic blood pressure were essential indicators for an effective prognosis. The purpose of the study was to determine the relationship between blood glucose levels and systolic blood pressure on the length of stay of CHD patients at Nganjuk Hospital in 2021. This study uses a quantitative approach with a retrospective survey method. The research has been carried out in the emergency department and intensive care unit room at Nganjuk Hospital by taking medical record data. The population of this study was all coronary heart disease patients from Juli until December 2021. The sample size was 164 respondents selected using a simple random sampling technique. The independent variables were systolic blood pressure (X1) and blood glucose levels (X2), while the dependent variable was the length of stay (LOS) in CHD patients (Y). Data analysis using multiple linear regression. The multivariate analysis results with linear regression showed a relationship between blood glucose levels (P value: 0.00) and systolic blood pressure (P value: 0.00) with the length of stay of CHD patients at Nganjuk Hospital in 2021. High blood glucose requires more intensive treatment to monitor and normalize blood glucose again and higher systolic blood pressure is associated with a shorter stay in the hospital. Patients with CHD can use blood glucose level and systolic blood pressure as a predictor of LOS.
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